## Contributions to Mathematical Psychology, Psychometrics, and MethodologyGerhard H. Fischer, Donald Laming Contributions to Mathematical Psychology, Psycho§ metrics and Methodology presents the most esteemed research findings of the 22nd European Mathematical Psychology Group meeting in Vienna, Austria, September 1991. The selection of work appearing in this volume contains not only contributions to mathematical psychology in the narrow sense, but also work in psychometrics and methodology, with the common element of all contributions being their attempt to deal with scientific problems in psychology with rigorous mathematics reasoning. The book contains 28 chapters divided into five parts: Perception, Learning, and Cognition; Choice and Reaction Time; Social Systems; Measurement and Psychometrics; and Methodology. It is of interest to all mathematical psychologists, educational psychologists, and graduate students in these areas. |

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Contributions to Mathematical Psychology, Psychometrics, and Methodology Gerhard H. Fischer,Donald Laming No preview available - 2011 |

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ability algorithm analysis applied approach assumed assumption asymptotic automorphisms base rate base rate fallacy Beta distribution block Boolean functions carryover effects chess problems clustering CML estimators color space components computed condition constraints defined Definition denoted dichotomization digit distribution Doignon empirical equations equivalence error examinees example experiment Falmagne Fischer frequencies gamma distribution given illusion implication scheme implies inducing figure Journal of Mathematical knowledge space knowledge structure Koppen latent trait system learning path likelihood function linear LLTM marginal likelihood Markov chain Mathematical Psychology matrix measurement method minimal Munsell natural sampling observed obtained optimal pairs picture superiority effect predictions presented probability problem procedure random variable Rasch model representation represented response patterns skill assignment solution specific statistical stimulus stochastic strategies subjects subset sufficient statistic surmise relation Table test dots Theorem theory tion treatment unique values variance vector visual